This is in addition to the additional PASA errors I was having and wanted to test you Funannotate update to see if I was getting any errors there. I used alternative gene models to train AUGUSTUS (CodingQuarry). To get a final predicted results for update testing.
When I ran Update I got and error of too many values to unpack.
This is in addition to the additional PASA errors I was having and wanted to test you Funannotate update to see if I was getting any errors there. I used alternative gene models to train AUGUSTUS (CodingQuarry). To get a final predicted results for update testing.
When I ran Update I got and error of too many values to unpack.
stephenwyka@bspmgenomics:/data/wyka/Cpur20_refined/Cpur20_1_update$ /data/wyka/funannotate-master/funannotate update -i Cpur20_1_fun_output/ --cpus 24 --left Cpur20_w_filtered_1P.fastq.gz --right Cpur20_w_filtered_2P.fastq.gz --jaccard_clip --min_protlen 100 --no_trimmomatic --no_normalize_reads
[05:38 PM]: OS: linux2, 24 cores, ~ 264 GB RAM. Python: 2.7.12 [05:38 PM]: Running funannotate v1.5.1 [05:38 PM]: No NCBI SBT file given, will use default, for NCBI submissions pass one here '--sbt' Traceback (most recent call last): File "/data/wyka/funannotate-master/bin/funannotate-update.py", line 1621, in
locustag, genenumber, justify = gbk2pasaNEW(GBK, gffout, trnaout, fastaout, spliceout, exonout, proteinsout)
File "/data/wyka/funannotate-master/bin/funannotate-update.py", line 259, in gbk2pasaNEW
tag, count = lastTag.split('_')
ValueError: too many values to unpack
stephenwyka@bspmgenomics:/data/wyka/Cpur20_refined/Cpur20_1_update$